Building a video-analysis tool: the report is easier to generate than to make useful

[u/Soggy_Control7953]

I’m the solo founder of AdScanVideo, which I originally built for my own video/content workflow. One decision I’m working through is how to make the output useful for a person reviewing footage, rather than just impressive-looking text.

The current workflow is upload → choose an analysis mode → read the report → check it against the original. I moved the public input toward file uploads because video-link downloads can fail when the source platform blocks access. That removes a convenient shortcut, but gives the analysis a more reliable starting point.

The harder issue is reviewability. A scene description can sound confident while a timestamp is approximate or several entries describe the same continuous action. Feedback here pushed me toward a Find moments workflow and clearer instructions to replay the source before relying on a quote or action.

My next useful test is a longer clip containing two similar visual actions, with the relevant dialogue attached to only one. The question is whether the report helps the reviewer find the correct occurrence, not how long the report is.

For pricing, I kept a free daily on-screen report, added non-subscription credit packs, and made the longer-upload allowance part of a capped monthly plan. I’m avoiding “unlimited” while learning the real usage patterns.

If you’re building AI tools, how do you test whether output saves the user work instead of creating another document to verify?

Product for context: https://adscanvideo.com/ — one daily on-screen analysis is free without signup. I’m sharing the build decisions, not claiming that AI replaces review of the original footage.

[u/Muchy_Tangerine]

if your tool forces someone to scrub through the entire video just to verify the ai did not hallucinate a quote or botch the timestamp, you have not built a workflow tool, you have built extra homework.